LeA(H)Rning self-control

Quintana, Francisco J.

doi:10.1038/cr.2014.96

Cited by 12 publications

(17 citation statements)

References 12 publications

(17 reference statements)

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“…The larger velocity catalogue used here confirms the general structure and the main features of the SSC already discussed in Quintana et al (2000) and Proust et al (2006). For completeness we briefly summarize them here.…”

Section: Velocity Distribution and Structure Of The Superclustersupporting

confidence: 88%

“…Figure 5 shows the histogram of the velocities of galaxies in the direction of the SSC with all available velocities in the range 0 ≤ v ≤ 30,000 km s −1 , with a step size of 300 km s −1 . The histogram shows several maxima, as discussed by Quintana et al (2000) and Proust et al (2006). Figure 6 shows the combined resulting distribution of galaxies towards the SSC as wedge diagrams in Right Ascension (left) and Declination (right) of the whole velocity catalogue until 30,000 km s −1 .…”

Section: Velocity Distribution and Structure Of The Superclustersupporting

confidence: 55%

“…The multi-fiber system first used at LCO consists of a plug plate at the focal plane, with 128 fibers running to a spectrograph coupled to the 2D-Frutti detector, covering a field of view of 1.5 × 1.5 degrees on the sky. Instrumental details and observing procedures were the same as on earlier reported observations described in Shectman (1989), Quintana et al (2000), .…”

Section: Observations and Instrumentationmentioning

confidence: 99%

“…As the starting reference set for the zero-point we used the velocity measurements performed by us with the fiber spectrograph at the du Pont telescope with the same detector, including previous ones described in earlier papers (Quintana et al 1995, observing sessions Q01, Q02, Q03, Q04, Q05, Q06, Q07, M01, M03, and Quintana et al 2000, observing sessions listed in Table 1: QC01, QC02, QC03, QC04, QC05, QC06, QC07, LC97, not individually reported before). We earlier showed (Quintana et al 1995 andQuintana et al 2000) that there were no systematic velocity differences between observations carried out with the fiber spectrograph and the earlier Reticon spectrograph (both built by S. Shectman, Shectman 1989), mounted at the du Pont Telescope, as both used the same Carnegie Image Tube as final detector, used for the much earlier observations with the same telescope reported in (Quintana et al 1995). In most sessions we also carried out repeated observations of some galaxies (as listed in the database), to check that we had a consistent velocity system and to reduce statistical errors.…”

Section: Zero-point Correctionmentioning

confidence: 99%

“…For such applications, it is necessary to accurately characterize the structure and dynamics of the supercluster, in order to measure its total mass and density distribution and assess the evolutionary state of its different regions. This requires large redshift surveys, which in fact have been carried out over the years (Quintana et al 2000;Haines et al 2018;and references therein).…”

Section: Introductionmentioning

confidence: 99%

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A redshift database towards the Shapley supercluster region

Quintana

Proust²,

Dünner

et al. 2020

A&A

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We present a database and velocity catalogue towards the region of the Shapley Supercluster based on 18,146 measured velocities for 10,719 galaxies in the approximately 300 square degree area between 12h43m00s < R.A. < 14h17m00s and −23 • 30 00 > Dec > −38 • 30 00 . The data catalogue contains velocities from the literature found until 2015. It also includes 5,084 velocities, corresponding to 4,617 galaxies, observed by us at Las Campanas and CTIO observatories and not reported individually until now. Of these, 2,585 correspond to galaxies with no other previously published velocity measurement before 2015. Every galaxy in the velocity database has been identified with a galaxy extracted from the SuperCOSMOS photometric catalogues. We also provide a combined average velocity catalogue for all 10,719 galaxies with measured velocities, adopting the SuperCOSMOS positions as a homogeneous base. A general magnitude cut-off at R2=18.0 mag was adopted (with exceptions only for some of the new reported velocities). In general terms, we confirm the overall structure of the Shapley Supercluster as found in earlier papers. However, the more extensive velocity data show finer structure, to be discussed in a future publication.

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Section: Velocity Distribution and Structure Of The Superclustersupporting

confidence: 88%

Section: Velocity Distribution and Structure Of The Superclustersupporting

confidence: 55%

Section: Observations and Instrumentationmentioning

confidence: 99%

Section: Zero-point Correctionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A redshift database towards the Shapley supercluster region

Quintana

Proust²,

Dünner

et al. 2020

A&A

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Dendritic cells and parasites: from recognition and activation to immune response instruction

et al. 2016

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The effective defense against parasite infections requires the ability to mount an appropriate and controlled specific immune response able to eradicate the invading pathogen while limiting the collateral damage to self-tissues. Dendritic cells are key elements for the development of immunity against parasites; they control the responses required to eliminate these pathogens while maintaining host homeostasis. Ligation of dendritic cell pattern recognition receptors by pathogen-associated molecular pattern present in the parasites initiates signaling pathways that lead to the production of surface and secreted proteins that are required, together with the antigen, to induce an appropriate and timely regulated immune response. There is evidence showing that parasites can influence and regulate dendritic cell functions in order to promote a more permissive environment for their survival. In this review, we will focus on new insights about the ability of protozoan and helminth parasites or their products to modify dendritic cell function and discuss how this interaction is crucial in shaping the host response.

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Dietary and metabolic modulators of hepatic immunity

Carambia

Herkel

2017

Semin Immunopathol

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The liver is the central metabolic organ of the organism and is thus constantly exposed to gut-derived dietary and microbial antigens. The liver maintains homoeostatic tolerance to these mostly harmless antigens. However, the liver also functions as a barrier organ to harmful pathogens and is thus permissive to liver inflammation. The regulation of the delicate balance between liver tolerance and liver inflammation is of vital importance for the organism. In recent years, a general role for dietary components and metabolites as immune mediators has been emerging. However, although the liver is exposed to a great deal of metabolic mediators, surprisingly, little is known about their actual role in the regulation of hepatic immune responses. Here, we will explore the possible impacts of metabolic mediators for homoeostatic and pathological immunity in the liver, by highlighting selected examples of metabolic immune regulation in the liver.

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LeA(H)Rning self-control

Cited by 12 publications

References 12 publications

A redshift database towards the Shapley supercluster region

A redshift database towards the Shapley supercluster region

Dendritic cells and parasites: from recognition and activation to immune response instruction

Dietary and metabolic modulators of hepatic immunity

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